Update app.py

app.py

@@ -1,9 +1,8 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
-import random
 import re
 
-# ✅ Allowed mental health keywords (EN + AR + transliterated Arabic)
+# ✅ Mental health keywords (EN + AR + transliterated Arabic)
 MENTAL_KEYWORDS = [
     # English
     "depression", "depressed", "anxiety", "anxious", "panic", "stress", "sad", "lonely",
@@ -20,29 +19,6 @@ MENTAL_KEYWORDS = [
     "مشاعر", "مضغوط", "قلقان", "وحدي", "مش مبسوط", "زهقان", "ضايق", "تعب", "مش مرتاح",
 ]
 
-# ✅ Off-topic keywords (EN + AR)
-OFF_TOPIC = [
-    # English
-    "recipe", "song", "music", "lyrics", "joke", "funny", "laugh", "code", "python", "program",
-    "game", "food", "cook", "movie", "film", "series", "sport", "football", "instagram",
-    "tiktok", "money", "business", "crypto", "ai", "computer",
-    # Arabic
-    "نكتة", "ضحك", "اغنية", "اغاني", "طبخ", "اكل", "فيلم", "مسلسل", "كورة", "رياضة",
-    "بيزنس", "فلوس", "العاب", "لعبة", "كود", "برمجة", "ذكاء اصطناعي"
-]
-
-# ✅ Random natural off-topic responses
-OFF_TOPIC_RESPONSES = [
-    "I'm here to help with emotional and mental well-being. Let's focus on how you're feeling, coping, or managing your emotions today.",
-    "I specialize in mental and emotional health conversations. Tell me what’s been on your mind lately.",
-    "Let’s bring it back to how you’ve been feeling — I’m here to help you talk through emotions, stress, or challenges.",
-    "My goal is to support your mental health. How have things been emotionally for you lately?",
-    "I’m here for emotional and mental support only. What’s been bothering you recently?",
-    "Let's focus on your thoughts and feelings — I can help you process or manage them better.",
-    "It sounds like you might be going off-topic. Can we talk about how you’ve been feeling instead?",
-    "Let’s keep this space focused on your emotions and well-being. What’s been heavy on your mind lately?",
-]
-
 # ✅ Detect Arabic characters
 def contains_arabic(text: str) -> bool:
     return bool(re.search(r"[\u0600-\u06FF]", text))
@@ -52,10 +28,6 @@ def is_mental_health_related(text: str) -> bool:
     text_lower = text.lower()
     has_arabic = contains_arabic(text_lower)
 
-    # If message includes off-topic Arabic or English terms → block it
-    if any(word in text_lower for word in OFF_TOPIC):
-        return False
-
     # If it has mental-related Arabic/English → allow
     if any(word in text_lower for word in MENTAL_KEYWORDS):
         return True
@@ -64,10 +36,9 @@ def is_mental_health_related(text: str) -> bool:
     if has_arabic:
         return True
 
-    # Default fallback
+    # Default fallback → block
     return False
 
-
 # ✅ Main response function
 def respond(
     message,
@@ -79,7 +50,7 @@ def respond(
     hf_token: gr.OAuthToken,
 ):
     if not is_mental_health_related(message):
-        yield random.choice(OFF_TOPIC_RESPONSES)
+        yield "I can only respond to mental health and emotional well-being topics."
         return
 
     locked_system_message = (
@@ -110,7 +81,6 @@ def respond(
         response += token
         yield response
 
-
 # ✅ Gradio interface setup
 chatbot = gr.ChatInterface(
     respond,